Results 151 to 160 of about 8,734 (183)

Derivative-based spatial mediation with INLA-SPDE [PDF]

open access: yesSpatial Statistics
In many applied fields, it may be of interest to evaluate mediational mechanisms occurring in spatial domains. The approaches proposed so far in the literature to address this issue deal with areal data and often consider linear models. In this paper, we
Chiara Di Maria   +2 more
exaly   +6 more sources

Spatiotemporal modelling of soil organic matter changes in Jiangsu, China between 1980 and 2006 using INLA-SPDE

Geoderma, 2021
The growing human population and demand for food have significantly impacted soil resources. Understanding the spatiotemporal change of soil conditions is important to support food production, environmental sustainability, and climate change adaptation ...
Xiao-Lin Sun   +2 more
exaly   +3 more sources

Spatial modelling of hydrothermal mineralization-related geochemical patterns using INLA+SPDE and local singularity analysis

Computers and Geosciences, 2021
Abstract The complexity of geochemical patterns in surficial media makes it necessary to consider the uncertainty when identifying geochemical anomalies in geochemical prospecting. In this contribution, the type of uncertainty related to spatial modelling of geochemical element distribution based on a limited number of observations is considered.
Renguang Zuo
exaly   +3 more sources

Evaluating a Bayesian modelling approach (INLA-SPDE) for environmental mapping

Science of the Total Environment, 2017
Understanding the uncertainty in spatial modelling of environmental variables is important because it provides the end-users with the reliability of the maps. Over the past decades, Bayesian statistics has been successfully used. However, the conventional simulation-based Markov Chain Monte Carlo (MCMC) approaches are often computationally intensive ...
Jingyi Huang   +2 more
exaly   +4 more sources

A data fusion model for meteorological data using the INLA-SPDE method [PDF]

open access: yesJournal of the Royal Statistical Society Series C: Applied Statistics
We present a data fusion model designed to address the problem of sparse observational data by incorporating numerical forecast models as an additional data source to improve predictions of key variables.
S. J. Villejo   +3 more
semanticscholar   +3 more sources

A Bayesian INLA-SPDE approach to spatio-temporal point-grid fusion with change-of-support and misaligned covariates

open access: yesSpatial Statistics
We propose a spatio-temporal data-fusion framework for point data and gridded data with variables observed on different spatial supports. A latent Gaussian field with a Mat\'ern-SPDE prior provides a continuous space representation, while source-specific
Wei Zheng   +3 more
semanticscholar   +3 more sources

Bayesian spatio-temporal modeling of soil phosphorus in Britany in western France (1995-2014) with INLA-SPDE

, 2020
Soil phosphorus (P) is one of the most critical elements for Earth’s ecosystem. P is a component of the complex nucleic acid structure of plants, which regulates protein synthesis, plants deficient in P are stunted in growth and lead to diseases.
Bifeng Hu   +6 more
semanticscholar   +2 more sources

Estimation of fine-resolution PM2.5 concentrations using the INLA-SPDE method

Atmospheric Pollution Research, 2023
Jingna Chen   +5 more
semanticscholar   +2 more sources

Evaluating the Geographical Patterns of Intimate Partner Violence in Nigeria, Zambia, and Zimbabwe Using INLA-SPDE Approach

open access: yes
Recent data show that one in three women in Sub-Saharan Africa is abused at least once in her lifetime by an intimate partner. The fight against violence against women has thus been included among the targets of two Sustainable Development Goals of the United Nations.
Micaela Arcaio   +2 more
exaly   +4 more sources

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